DBMS > atoti vs. Faircom EDGE vs. Teradata

System Properties Comparison atoti vs. Faircom EDGE vs. Teradata

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Object oriented DBMS

Key-value store
Relational DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.62
Rank	#258	Overall
	#13	Object oriented DBMS

Score	0.00
Rank	#387	Overall
	#61	Key-value stores
	#161	Relational DBMS

Score	63.03
Rank	#18	Overall
	#12	Relational DBMS

Website

www.atoti.io

www.faircom.com/products/faircomedge-iot-database

www.teradata.com

Technical documentation

learn.faircomcorp.com/developers/documentation_directory

docs.teradata.com

Developer

ActiveViam

FairCom Corporation

Teradata

Initial release

1979

1984

Current release

V3, October 2020

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

free versions available

commercial

Restricted, free version available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

ANSI C, C++

Server operating systems

Android
Linux

ARM, x86
Raspbian
Windows

hosted
Linux

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

Multidimensional Expressions (MDX)

yes

ANSI SQL queries

yes

SQL 2016 + extensions

APIs and other access methods

ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

C
C#
C++
Java
JavaScript
PHP
Python
VB.Net

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

Python

yes

.Net, JavaScript, C/C++

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

File partitioning

Customizable business rules for partitioning

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Synchronous and asynchronous realtime replication based on transaction logs

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency
Tunable Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

when using SQL

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

across SQL and NoSQL

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

Trend-Setting Products in Data and Information Management for 2023
8 December 2022, Database Trends and Applications

World's First Converged IIoT Hub to be Showcased at IoT Tech Expo
3 September 2021, Automation.com

Trend-Setting Products in Data and Information Management for 2022
8 December 2021, Database Trends and Applications

provided by Google News

Teradata appoints Richard Petley as EVP, Go-to-Market, International
7 February 2023, iTWire

Wellington Management Group Llp Cuts Stake in Teradata (TDC)
6 February 2023, Nasdaq

Teradata (TDC) will report quarterly earnings on Monday.
8 February 2023, Best Stocks

Teradata Announces Date for Release of Fiscal Fourth Quarter and ...
23 January 2023, Joplin Globe

Guggenheim Initiates Teradata at Neutral
27 January 2023, Marketscreener.com

provided by Google News

Share this page